When Will AI Pay for Itself?
What AI costs, and what it is starting to give back.
Sources and method
How every figure on this page was found, checked and labelled, and the full list of where each one comes from.
Evidence 1.1 · last checked 23 September 2026 · 304 references
How the evidence was gathered
Four research passes - two on costs (today's costs; cost curves and the railway history) and two on benefits - each with the same evidence standard: figure, unit, year, source, date, URL and a verification tag, with projections and vendor claims labelled. The cost dossiers tag each finding as confirmed in two independent sources, resting on one primary source, or unverified; unverified findings stay off the page. The benefit dossiers class each case as peer-reviewed or independently evaluated, a real deployment with reported numbers, or an estimate or projection. A fifth pass, on the social goals, covered both columns - poverty, schooling, work, discrimination and abuse imagery - to the same standard.
Cite this page
Houghton, J. (2026). When Will AI Pay for Itself? What AI costs, and what it is starting to give back (Version 1.1). https://when-will-ai-pay.vercel.app
Reading the badges
- Two sources: Two independent organisations agree.
- Two independent organisations agree.
- One source: A single primary document, usually an official statistic or a peer-reviewed paper.
- A single primary document, usually an official statistic or a peer-reviewed paper.
- Vendor: The company's own figure, unaudited.
- The company's own figure, unaudited.
- Projection: A scenario, not a measurement.
- A scenario, not a measurement.
Benefit rows also carry an evidence tier
- (a) peer-reviewed
- Randomised, peer-reviewed or independently evaluated.
- (b) real deployment
- A real deployment with organisation-reported numbers.
- (c) estimate
- An estimate or projection.
What changed in the evidence
- 1.1
23 September 2026
Six new ledger cards on the social goals - social protection, learning and work on the benefits side; jobs, discrimination and abuse imagery on the costs side - from a fifth research dossier, checked against source on 23 September 2026. Earlier figures were not re-checked in this release.
- 1.0
22 September 2026
First full set of figures, synthesised from the four research dossiers and checked against source.
Changes to the site itself, rather than its figures, are on the Progress tab.
Spotted an error, or know a better source? The Feedback button at the foot of every page comes straight to Joe.
References
304 works from 5 research dossiers · APA 7, alphabetical
A16 references
A-Z, back to the letter index- Abitbol, R., Aghion, P., Antonin, C., Barrage, L., & Lengereau, A. (2026, July 17). Quasi-experimental evidence from the water treatment sector [NBER conference paper]. National Bureau of Economic Research. https://conference.nber.org/conf_papers/f240807.pdf (opens in a new tab)
- Abràmoff, M. D., Lavin, P. T., Birch, M., Shah, N., & Folk, J. C. (2018). Pivotal trial of an autonomous AI-based diagnostic system for detection of diabetic retinopathy in primary care offices. npj Digital Medicine, 1, 39. https://www.nature.com/articles/s41746-018-0040-6 (opens in a new tab)
- Adams, R., Henry, K. E., Sridharan, A., Soleimani, H., Zhan, A., Rawat, N., ... Saria, S. (2022). Prospective, multi-site study of patient outcomes after implementation of the TREWS machine learning-based early warning system for sepsis. Nature Medicine, 28(7), 1455-1460. https://doi.org/10.1038/s41591-022-01894-0 (opens in a new tab)
- Aiken, E., Bellue, S., Karlan, D., Udry, C., & Blumenstock, J. E. (2022). Machine learning and phone data can improve targeting of humanitarian aid. Nature, 603(7903), 864-870. https://doi.org/10.1038/s41586-022-04484-9 (opens in a new tab)
- Allen, A., Markou, S., Tebbutt, W., Requeima, J., Bruinsma, W. P., Andersson, T. R., ... Turner, R. E. (2025). End-to-end data-driven weather prediction. Nature. https://www.nature.com/articles/s41586-025-08897-0 (opens in a new tab)
- Amazon. (2025). 2024 Amazon sustainability report. https://sustainability.aboutamazon.com/content/dam/sustainability-marketing-site/pdfs/reports-docs/2024-amazon-sustainability-report.pdf (opens in a new tab)
- Amazon. (2026). 2025 Amazon sustainability report. https://sustainability.aboutamazon.com/2025-amazon-sustainability-report.pdf (opens in a new tab)
- American Forest Congress. (1905). Proceedings of the American Forest Congress held at Washington, D.C., January 2 to 6, 1905. American Forestry Association. https://doi.org/10.5962/bhl.title.29105 (opens in a new tab)
- Analysis Atlas. (2026, May 16). Hyperscaler AI capex 2026: Inside the $710B year. https://analysis-atlas.com/research/hyperscaler-ai-capex-2026/ (opens in a new tab)
- Appenzeller, G. (2024, November 12). Welcome to LLMflation - LLM inference cost is going down fast. Andreessen Horowitz. https://a16z.com/llmflation-llm-inference-cost/ (opens in a new tab)
- Arizona Technology Council. (2023, March 14). Microsoft agrees to make data centers air cooled amid water infrastructure challenges in Goodyear. https://www.aztechcouncil.org/microsoft-agrees-to-make-data-centers-air-cooled-amid-water-infrastructure-challenges-in-goodyear/ (opens in a new tab)
- Arkion. (2025). ESB Distribution Grid: Helping ESB strengthen network resilience after Ireland's severe winter storms using AI-powered analytics [Case study]. https://www.arkion.co/customer-case/esb-distribution-grid (opens in a new tab)
- Ars Technica. (2025, November 4). Google's new hurricane model was breathtakingly good this season. https://arstechnica.com/science/2025/11/googles-new-weather-model-impressed-during-its-first-hurricane-season/ (opens in a new tab)
- Ars Technica. (2026, July 2). Google's AI buildout drove 37% increase in electricity use in 2025. https://arstechnica.com/ai/2026/07/googles-ai-buildout-drove-37-increase-in-electricity-use-in-2025/ (opens in a new tab)
- Autoriteit Persoonsgegevens. (2021, December 7). Boete Belastingdienst voor discriminerende en onrechtmatige werkwijze [Press release]. https://www.autoriteitpersoonsgegevens.nl/actueel/boete-belastingdienst-voor-discriminerende-en-onrechtmatige-werkwijze (opens in a new tab)
- AZBEX. (2023, March 17). Microsoft, Goodyear update development agreement. https://azbex.com/local-news/microsoft-goodyear-update-development-agreement/ (opens in a new tab)
B9 references
A-Z, back to the letter index- Bastani, H., Bastani, O., Sungu, A., Ge, H., Kabakcı, Ö., & Mariman, R. (2025). Generative AI without guardrails can harm learning: Evidence from high school mathematics. Proceedings of the National Academy of Sciences, 122(26), e2422633122. https://doi.org/10.1073/pnas.2422633122 (opens in a new tab)
- Battelle Technology Partnership Practice. (2011). Economic impact of the Human Genome Project. Battelle Memorial Institute. https://www.battelle.org/docs/default-source/misc/battelle-2011-misc-economic-impact-human-genome-project.pdf (opens in a new tab)
- Battelle Technology Partnership Practice. (2013). The impact of genomics on the U.S. economy. United for Medical Research. https://doe-humangenomeproject.ornl.gov/wp-content/uploads/2022/06/2013BattelleReportImpact-of-Genomics-on-the-US-Economy.pdf (opens in a new tab)
- BBC News. (2025, February 28). Can AI help modernise Ireland's healthcare system? https://www.bbc.co.uk/news/articles/cly7yxm3py5o (opens in a new tab)
- BBC News. (2025, October 26). A humming annoyance or jobs boom? Life next to 199 data centres in Virginia. https://www.bbc.co.uk/news/articles/c93dnnxewdvo (opens in a new tab)
- BrainBox AI. (n.d.). AI control: Reduce building energy consumption by up to 25%. https://brainboxai.com/en/solutions/ai-control (opens in a new tab)
- Brandt, M., Tucker, C. J., Kariryaa, A., Rasmussen, K., Abel, C., Small, J., Chave, J., Rasmussen, L. V., Hiernaux, P., Diouf, A. A., Kergoat, L., Mertz, O., Igel, C., Gieseke, F., Schöning, J., Li, S., Melocik, K., Meyer, J., Sinno, S., ... Fensholt, R. (2020). An unexpectedly large count of trees in the West African Sahara and Sahel. Nature, 587(7832), 78-82. https://doi.org/10.1038/s41586-020-2824-5 (opens in a new tab)
- Brynjolfsson, E., Chandar, B., & Chen, R. (2026). Canaries in the coal mine? Six facts about the recent employment effects of artificial intelligence [Working paper, revised August 2026]. Stanford Digital Economy Lab. https://digitaleconomy.stanford.edu/app/uploads/2026/08/Canaries_August2026.pdf (opens in a new tab)
- Brynjolfsson, E., Li, D., & Raymond, L. R. (2025). Generative AI at work. The Quarterly Journal of Economics, 140(2), 889-942. https://doi.org/10.1093/qje/qjae044 (opens in a new tab)
C22 references
A-Z, back to the letter index- Cambridge Group for the History of Population and Social Structure. (n.d.). The development of the railway network in Britain 1825-1911. University of Cambridge. https://www.campop.geog.cam.ac.uk/research/projects/transport/onlineatlas/railways.pdf (opens in a new tab)
- Campbell, G. (2013). Deriving the railway mania. Financial History Review, 20(1), 1-27. https://doi.org/10.1017/S0968565012000285 (opens in a new tab)
- Campbell, G., & Turner, J. D. (2012). Dispelling the myth of the naive investor during the British Railway Mania, 1845-1846. Business History Review, 86(1), 3-41. https://doi.org/10.1017/S0007680512000025 (opens in a new tab)
- Carbon Mapper. (2026, August 17). Tanager-1: Two years of turning satellite data into methane action. https://carbonmapper.org/articles/tanager-1-two-years-of-turning-satellite-data-into-methane-action (opens in a new tab)
- CBS News. (2026, July 16). Mississippi homeowners blame a noisy data center plant for sleepless nights. https://www.cbsnews.com/news/mississippi-elon-musk-xai-data-center-power-plant-noise/ (opens in a new tab)
- CeADAR. (2026). AI2Peat. https://ceadar.ie/project/ai2peat/ (opens in a new tab)
- Center for Strategic and International Studies. (2025, March 3). The electricity supply bottleneck on U.S. AI dominance. https://www.csis.org/analysis/electricity-supply-bottleneck-us-ai-dominance (opens in a new tab)
- Central Statistics Office. (2025, December 5). Household digital consumer behaviour 2025: Generative AI. https://www.cso.ie/en/releasesandpublications/ep/p-isshdcb/householddigitalconsumerbehaviour2025/generativeai/ (opens in a new tab)
- Central Statistics Office. (2026, February 6). Information society statistics - enterprises 2025: Artificial intelligence. https://www.cso.ie/en/releasesandpublications/ep/p-isse/informationsocietystatistics-enterprises2025/artificialintelligence/ (opens in a new tab)
- Central Statistics Office. (2026, July 7). Data centres metered electricity consumption 2025. https://www.cso.ie/en/releasesandpublications/ep/p-dcmec/datacentresmeteredelectricityconsumption2025/keyfindings/ (opens in a new tab)
- Cheetham, A. K., & Seshadri, R. (2024). Artificial intelligence driving materials discovery? Perspective on the article: Scaling deep learning for materials discovery. Chemistry of Materials, 36(8), 3490-3495. https://doi.org/10.1021/acs.chemmater.4c00643 (opens in a new tab)
- Chi, G., Fang, H., Chatterjee, S., & Blumenstock, J. E. (2022). Microestimates of wealth for all low- and middle-income countries. Proceedings of the National Academy of Sciences, 119(3), e2113658119. https://doi.org/10.1073/pnas.2113658119 (opens in a new tab)
- CleanTechnica. (2024, September 16). Data center emissions much higher than reported. https://cleantechnica.com/2024/09/16/data-center-emissions-much-higher-than-reported/ (opens in a new tab)
- Cockcroft, A. (2024, September 23). Deep dive into NVIDIA Blackwell benchmarks - where does the 4x training and 30x inference performance gain come from? Medium. https://adrianco.medium.com/deep-dive-into-nvidia-blackwell-benchmarks-where-does-the-4x-training-and-30x-inference-0209f1971e71 (opens in a new tab)
- Coimisiún na Meán. (2026, January 8). Coimisiún na Meán statement on Grok. https://www.cnam.ie/coimisiun-na-mean-statement-on-grok/ (opens in a new tab)
- Commission for Regulation of Utilities. (2025, December 12). CRU publishes its decision on new electricity connection policy for data centres. https://www.cru.ie/about-us/news/the-cru-publishes-its-decision-on-new-electricity-connection-policy-for-data-centres/ (opens in a new tab)
- Commission for Regulation of Utilities. (2025, December 12). Large energy users connection policy: Decision paper (CRU/2025236). https://cruie-live-96ca64acab2247eca8a850a7e54b-5b34f62.divio-media.com/documents/CRU2025236_Large_Energy_User_connection_policy_decision_paper.pdf (opens in a new tab)
- Commission for Regulation of Utilities. (2025, February 18). Large energy users connection policy: Proposed decision (CRU/202504). https://consult.cru.ie/en/system/files/materials/200/CRU202504%20LEU%20connection%20policy%20proposed%20decision_0.pdf (opens in a new tab)
- Commonwealth Fusion Systems. (2025, October 16). With AI alliance, Google DeepMind and CFS take fusion to the next level. https://blog.cfs.energy/with-ai-alliance-google-deepmind-and-cfs-take-fusion-to-the-next-level/ (opens in a new tab)
- Compute Law Blog. (2026, May 23). Arizona groundwater and water supply for AI data centers. https://computelaw.blog/real-estate/arizona-ai-data-center-water-supply/ (opens in a new tab)
- Cottier, B., Rahman, R., Fattorini, L., Maslej, N., & Owen, D. (2025). The rising costs of training frontier AI models (arXiv:2405.21015v2). https://arxiv.org/html/2405.21015v2 (opens in a new tab) ; summary: https://epoch.ai/publications/how-much-does-it-cost-to-train-frontier-ai-models (opens in a new tab)
- Cronon, W. (1991). Nature's metropolis: Chicago and the Great West. W. W. Norton. https://wwnorton.co.uk/books/9780393308730-nature-s-metropolis (opens in a new tab)
D18 references
A-Z, back to the letter index- Data Center Dynamics. (2022, December 19). We now know how much water Google's Oregon data centers use. https://www.datacenterdynamics.com/en/news/we-now-know-how-much-water-googles-oregon-data-centers-use-after-city-drops-lawsuit-against-journalists/ (opens in a new tab)
- Data Center Dynamics. (2022, January 11). EirGrid says no new applications for data centers in Dublin until 2028. https://www.datacenterdynamics.com/en/news/eirgrid-says-no-new-applications-for-data-centers-in-dublin-till-2028/ (opens in a new tab)
- Data Center Dynamics. (2025, May 29). Microsoft emissions up 23% since 2020, company blames AI data centers. https://www.datacenterdynamics.com/en/news/microsoft-emissions-up-23-since-2020-blames-ai-data-centers/ (opens in a new tab)
- Data Center Scope. (2026, August 22). How much water does a data center use? https://datacenterscope.com/cooling/data-center-water-use/ (opens in a new tab)
- De Simone, M., Tiberti, F., Barron Rodriguez, M., Manolio, F., Mosuro, W., & Dikoru, E. J. (2025). From chalkboards to chatbots: Evaluating the impact of generative AI on learning outcomes in Nigeria (Policy Research Working Paper No. 11125). World Bank. https://doi.org/10.1596/1813-9450-11125 (opens in a new tab)
- de Vries, A. (2023). The growing energy footprint of artificial intelligence. Joule, 7(10), 2191-2194. https://doi.org/10.1016/j.joule.2023.09.004 (opens in a new tab)
- DeepSeek-AI. (2024). DeepSeek-V3 technical report (arXiv:2412.19437). https://arxiv.org/abs/2412.19437 (opens in a new tab)
- Degrave, J., Felici, F., Buchli, J., Neunert, M., Tracey, B., Carpanese, F., ... Riedmiller, M. (2022). Magnetic control of tokamak plasmas through deep reinforcement learning. Nature, 602, 414-419. https://www.nature.com/articles/s41586-021-04301-9 (opens in a new tab)
- Degrave, J., Felici, F., Buchli, J., Neunert, M., Tracey, B., Carpanese, F., Ewalds, T., Hafner, R., Abdolmaleki, A., de las Casas, D., Donner, C., Fritz, L., Galperti, C., Huber, A., Keeling, J., Tsimpoukelli, M., Kay, J., Merle, A., Moret, J.-M., ... Riedmiller, M. (2022). Magnetic control of tokamak plasmas through deep reinforcement learning. Nature, 602(7897), 414-419. https://doi.org/10.1038/s41586-021-04301-9 (opens in a new tab)
- Dell'Acqua, F., McFowland, E., III, Mollick, E., Lifshitz-Assaf, H., Kellogg, K. C., Rajendran, S., Krayer, L., Candelon, F., & Lakhani, K. R. (2026). Navigating the jagged technological frontier: Field experimental evidence of the effects of artificial intelligence on knowledge worker productivity and quality. Organization Science, 37(2), 403-423. https://doi.org/10.1287/orsc.2025.21838 (opens in a new tab)
- Department for Transport & Office of Rail and Road. (2025, December 9). Rail trends 2025. GOV.UK. https://www.gov.uk/government/statistics/rail-trends-2025/rail-trends-2025 (opens in a new tab)
- Department of Education and Youth, & Oide Technology in Education. (2025). Guidance on artificial intelligence in schools. Government of Ireland. https://assets.gov.ie/static/documents/dee23cad/Guidance_on_Artificial_Intelligence_in_Schools_2025.pdf (opens in a new tab)
- Department of Education and Youth. (2026, April 7). AI in schools external advisory taskforce to be established [Press release]. https://www.gov.ie/en/department-of-education/press-releases/ai-in-schools-external-advisory-taskforce-to-be-established/ (opens in a new tab)
- Department of Finance. (2026). Annual progress report 2026. Government of Ireland. https://assets.gov.ie/static/documents/85b1144e/Annual_Progress_Report_2026.pdf (opens in a new tab)
- Department of Health and Social Care. (2025, February 4). World-leading AI trial to tackle breast cancer launched. GOV.UK. https://www.gov.uk/government/news/world-leading-ai-trial-to-tackle-breast-cancer-launched (opens in a new tab)
- DeSmog. (2025, December 12). These 15 coal plants would have retired. Then came AI and Trump. https://www.desmog.com/2025/12/12/15-coal-plant-retirements-delayed-ai-data-centers-trump-doe-orders/ (opens in a new tab)
- Donaldson, D., & Hornbeck, R. (2016). Railroads and American economic growth: A "market access" approach. Quarterly Journal of Economics, 131(2), 799-858. https://ideas.repec.org/a/oup/qjecon/v131y2016i2p799-858..html (opens in a new tab)
- Dáil Éireann. (2025, February 18). Written answers: Question 508 [Parliamentary question]. Houses of the Oireachtas. https://www.oireachtas.ie/en/debates/question/2025-02-18/508/ (opens in a new tab)
E19 references
A-Z, back to the letter index- E&E News. (2026, July 2). US data center power plants' emissions could rival Australia's, report says. https://www.eenews.net/articles/us-data-center-power-plants-emissions-could-rival-australias-report-says-2/ (opens in a new tab)
- Education Endowment Foundation. (2024). ChatGPT in lesson preparation [Evaluation report, evaluated by the National Foundation for Educational Research]. https://files.eric.ed.gov/fulltext/ED680921.pdf (opens in a new tab)
- EirGrid & GridZero.ai. (2026, July 17). Day-ahead forecasting of largest single infeed/outfeed on the Irish power grid: A generative artificial intelligence approach (arXiv:2607.15900). arXiv. https://arxiv.org/html/2607.15900v1 (opens in a new tab)
- EirGrid. (2026, May). Data centre connection offer process and policy, version 3. https://cms.eirgrid.ie/sites/default/files/publications/Data-Centre-Connection-Offer-Process-and-Policy-V3-May-2026.pdf (opens in a new tab)
- EirGrid. (2026, May). Data centre technical assessment. https://cms.eirgrid.ie/sites/default/files/publications/Data-Centre-Technical-Assessment-May-2026.pdf (opens in a new tab)
- EirGrid. (2026). Annual innovation report 2025. https://cms.eirgrid.ie/sites/default/files/publications/2025-Annual-Innovation-Report.pdf (opens in a new tab)
- Eisemann, N., Bunk, S., Mukama, T., Baltus, H., Elsner, S. A., Gomille, T., ... Katalinic, A. (2025). Nationwide real-world implementation of AI for cancer detection in population-based mammography screening. Nature Medicine, 31(3), 917-924. https://doi.org/10.1038/s41591-024-03408-6 (opens in a new tab)
- Elsworth, C., Huang, K., Patterson, D. A., Schneider, I., Sedivy, R. A., Goodman, S., et al. (2025). Measuring the environmental impact of delivering AI at Google scale. arXiv:2508.15734. https://doi.org/10.48550/arXiv.2508.15734 (opens in a new tab)
- Elsworth, C., Huang, K., Patterson, D., Schneider, I., Sedivy, R., Hussain, S., Kaur, T., Ekins, R. E., Hebert, C., Gauthier, C. C., Gill, D., Lewis, K., Bayo, F., Zhang, C., Bejnood, N. M., & Vahdat, A. (2025). Measuring the environmental impact of delivering AI at Google scale (arXiv:2508.15734). arXiv. https://arxiv.org/abs/2508.15734 (opens in a new tab)
- Environmental and Energy Study Institute. (n.d.). Data centers and water consumption. https://www.eesi.org/articles/view/data-centers-and-water-consumption (opens in a new tab)
- Environmental Defense Fund. (2025, July 1). MethaneSAT loses contact with satellite. https://www.edf.org/media/methanesat-loses-contact-satellite (opens in a new tab)
- Environmental Integrity Project. (2026, July 1). The power behind AI. https://environmentalintegrity.org/reports/the-power-behind-ai/ (opens in a new tab)
- Environmental Protection Agency (Ireland). (2025). Research 488: Habitat mapping, assessment and monitoring with high-resolution unoccupied aerial vehicle imagery (iHabiMap). https://www.epa.ie/publications/research/biodiversity/research-488-habitat-mapping-assessment-and-monitoring-with-high-resolution-unoccupied-aerial-vehicle-imagery-ihabimap.php (opens in a new tab)
- Epoch AI. (2025, June 17). Inference economics of language models. https://epoch.ai/publications/inference-economics-of-language-models (opens in a new tab)
- Epoch AI. (2025, March 12). LLM inference prices have fallen rapidly but unequally across tasks. https://epoch.ai/data-insights/llm-inference-price-trends (opens in a new tab)
- Epoch AI. (2026, February 26). Hyperscaler capex has quadrupled since GPT-4's release. https://epoch.ai/data-insights/hyperscaler-capex-trend (opens in a new tab)
- EU Space Programme. (2026, May 6). OBSERVER: Record-breaking 2025 fire season in the EU - insights from the Copernicus Emergency Management Service. https://eu-space.europa.eu/news/observer-record-breaking-2025-fire-season-eu-insights-copernicus-emergency-management-service (opens in a new tab)
- Euractiv. (2025, August 16). Europe's thirst for AI runs into local water worries. https://www.euractiv.com/news/europes-thirst-for-ai-runs-into-local-water-worries/ (opens in a new tab)
- European Centre for Medium-Range Weather Forecasts. (2025, February 25). ECMWF's AI forecasts become operational. https://www.ecmwf.int/en/about/media-centre/news/2025/ecmwfs-ai-forecasts-become-operational (opens in a new tab)
F8 references
A-Z, back to the letter index- Facilities Dive. (2026, July 14). Microsoft's data center expansion drove 25% emissions spike in 2025. https://www.facilitiesdive.com/news/microsofts-data-center-expansion-drove-25-emissions-spike-2025-environmental-sustainability-report/825142/ (opens in a new tab)
- Fairwork. (2025). Fairwork cloudwork ratings 2025. Oxford Internet Institute. https://fairwork.oii.ox.ac.uk/en/fw/publications/cloudwork-report-2025/ (opens in a new tab)
- Fero Labs. (2023). How Gerdau saved $3/ton. https://www.ferolabs.com/case-studies/gerdau (opens in a new tab)
- FIDO Tech. (2024, December 20). Microsoft, London | Aqua Plus [Case study]. https://fido.tech/case-studies/microsoft-london-fido-plus/ (opens in a new tab)
- Fishlow, A. (1966). Productivity and technological change in the railroad sector, 1840-1910. In Output, employment, and productivity in the United States after 1800 (pp. 583-646). NBER. https://www.nber.org/system/files/chapters/c1578/c1578.pdf (opens in a new tab)
- Fogel, R. W. (1962). A quantitative approach to the study of railroads in American economic growth: A report of some preliminary findings. Journal of Economic History, 22(2), 163-197. https://www.cambridge.org/core/journals/journal-of-economic-history/article/abs/quantitative-approach-to-the-study-of-railroads-in-american-economic-growth-a-report-of-some-preliminary-findings/72344209B9B3F06D69C9AA2BD3B0E1F7 (opens in a new tab)
- Fogel, R. W. (1964). Railroads and American economic growth: Essays in econometric history. Johns Hopkins Press.
- Forest History Society. (n.d.). Fueling the fires of industrialization [Curriculum essay]. https://foresthistory.org/education/trees-talk-curriculum/fueling-fires-industrialization/essay-fueling-the-fires-of-industrialization/ (opens in a new tab)
G29 references
A-Z, back to the letter index- Ge, X., Goodwin, R. T., Yu, H., Romero, P., Abdelrahman, O., Sudhalkar, A., ... Varshney, L. R. (2022). Accelerated design and deployment of low-carbon concrete for data centers. arXiv. https://doi.org/10.48550/arXiv.2204.05397 (opens in a new tab)
- Gibbons, S., Heblich, S., & Pinchbeck, E. W. (2024). The spatial impacts of a massive rail disinvestment program: The Beeching Axe. Journal of Urban Economics, 143, 103691. https://doi.org/10.1016/j.jue.2024.103691 (opens in a new tab)
- Gmyrek, P., Berg, J., Kamiński, K., Konopczyński, F., Ładna, A., Nafradi, B., Rosłaniec, K., & Troszyński, M. (2025). Generative AI and jobs: A refined global index of occupational exposure (ILO Working Paper No. 140). International Labour Organization. https://doi.org/10.54394/HETP0387 (opens in a new tab)
- Goldman Sachs Research. (2024, April 28). Generational growth: AI, data centers and the coming US power demand surge. https://www.goldmansachs.com/pdfs/insights/pages/gs-research/generational-growth-ai-data-centers-and-the-coming-us-power-surge/report.pdf (opens in a new tab)
- Goldman Sachs Research. (2025, February 4). AI to drive 165% increase in data center power demand by 2030. https://www.goldmansachs.com/insights/articles/ai-to-drive-165-increase-in-data-center-power-demand-by-2030 (opens in a new tab)
- Goldman Sachs Research. (2025, November 10). Data center power demand: The 6 Ps driving growth and constraints. https://www.goldmansachs.com/insights/goldman-sachs-research/data-center-power-demand-the-6-ps-driving-growth-and-constraints (opens in a new tab)
- Google (Alphabet). (2026). Independent accountants' review report: FY2025 environmental indicators. https://sustainability.google/files/alphabet-fy2025-environmental-indicators-assurance-letter/ (opens in a new tab)
- Google Data Centers. (n.d.). Power usage effectiveness. https://datacenters.google/efficiency/ (opens in a new tab)
- Google DeepMind (WeatherNext Cyclones team). (2026). Operational tropical cyclone forecasting with AI. Nature. https://www.nature.com/articles/s41586-026-10953-2 (opens in a new tab)
- Google DeepMind. (2016, July 20). DeepMind AI reduces Google data centre cooling bill by 40%. https://deepmind.google/blog/deepmind-ai-reduces-google-data-centre-cooling-bill-by-40/ (opens in a new tab)
- Google DeepMind. (2023, November 29). Millions of new materials discovered with deep learning. https://deepmind.google/blog/millions-of-new-materials-discovered-with-deep-learning/ (opens in a new tab)
- Google DeepMind. (2024, July 25). AI achieves silver-medal standard solving International Mathematical Olympiad problems. https://deepmind.google/blog/ai-solves-imo-problems-at-silver-medal-level/ (opens in a new tab)
- Google DeepMind. (2024, September 26). How AlphaChip transformed computer chip design. https://deepmind.google/blog/how-alphachip-transformed-computer-chip-design/ (opens in a new tab)
- Google DeepMind. (2025, July 21). Advanced version of Gemini with Deep Think officially achieves gold-medal standard at the International Mathematical Olympiad. https://deepmind.google/blog/advanced-version-of-gemini-with-deep-think-officially-achieves-gold-medal-standard-at-the-international-mathematical-olympiad/ (opens in a new tab)
- Google DeepMind. (2025, May 14). AlphaEvolve: A Gemini-powered coding agent for designing advanced algorithms. https://deepmind.google/blog/alphaevolve-a-gemini-powered-coding-agent-for-designing-advanced-algorithms/ (opens in a new tab)
- Google DeepMind. (2025, November 25). AlphaFold: Five years of impact. https://deepmind.google/blog/alphafold-five-years-of-impact/ (opens in a new tab)
- Google DeepMind. (2025, October 16). Bringing AI to the next generation of fusion energy. https://deepmind.google/blog/bringing-ai-to-the-next-generation-of-fusion-energy/ (opens in a new tab)
- Google Research. (n.d.). Project Green Light. https://sites.research.google/gr/greenlight/ (opens in a new tab)
- Google. (2019, February 26). Machine learning can boost the value of wind energy. https://deepmind.google/blog/machine-learning-can-boost-the-value-of-wind-energy/ (opens in a new tab)
- Google. (2024). 2024 environmental report. https://www.gstatic.com/gumdrop/sustainability/google-2024-environmental-report.pdf (opens in a new tab)
- Google. (2025, August 21). Measuring the environmental impact of AI inference [Blog post]. https://cloud.google.com/blog/products/infrastructure/measuring-the-environmental-impact-of-ai-inference (opens in a new tab)
- Google. (2025, June 27). 2025 environmental report. https://sustainability.google/reports/google-2025-environmental-report/ (opens in a new tab)
- Google. (2025, March 17). The first FireSat satellite has launched to help detect smaller wildfires earlier. https://blog.google/feed/firesat-first-satellite-launch/ (opens in a new tab)
- Google. (2026, June 30). 2026 environmental report. https://sustainability.google/files/google-2026-environmental-report.pdf (opens in a new tab)
- Google. (2026). 2026 environmental report. https://sustainability.google/google-2026-environmental-report/ (opens in a new tab)
- Google. (n.d.). Flood Hub. https://www.cities.google/flood-hub (opens in a new tab)
- Great Ormond Street Hospital. (2025, September 4). GOSH-led trial of AI-scribe technology shows 'transformative' benefits for patients and clinicians across London. https://www.gosh.nhs.uk/news/researchgosh-led-trial-of-ai-scribe-technology-shows-transformative-benefits-for-patients-and-clinicians-across-london/ (opens in a new tab)
- Greenpeace USA. (2026, March 4). Meet the coal plants that Trump and AI are restarting. https://www.greenpeace.org/usa/meet-the-coal-plants-that-trump-and-ai-are-restarting/ (opens in a new tab)
- Grother, P., Ngan, M., & Hanaoka, K. (2019). Face recognition vendor test (FRVT) part 3: Demographic effects (NISTIR 8280). National Institute of Standards and Technology. https://doi.org/10.6028/NIST.IR.8280 (opens in a new tab)
H15 references
A-Z, back to the letter index- Harvard Business School, Baker Library. (n.d.). 1873: Off the rails. Bubbles, Panics & Crashes. https://www.library.hbs.edu/hc/crises/1873.html (opens in a new tab)
- Harvard Teamcore. (n.d.). PAWS: Protection Assistant for Wildlife Security. https://teamcore.seas.harvard.edu/research-paws-protection-assistant-wildlife-security/ (opens in a new tab)
- Health Innovation Oxford and Thames Valley. (2024). AI in Health and Care Award: e-Stroke evaluation final report. https://www.healthinnovationoxford.org/wp-content/uploads/2024/11/e-stroke-evaluation-final-report.pdf (opens in a new tab)
- Health Service Executive, National Screening Service. (2026, April 10). The future of AI in breast screening: An interview with Prof Gerald Lip. https://www2.healthservice.hse.ie/organisation/nss/news/the-future-of-ai-in-breast-screening-an-interview-with-prof-gerald-lip/ (opens in a new tab)
- Health Service Executive, National Screening Service. (n.d.). Advancing screening in Ireland: Implementing an AI programme in the National Screening Service. https://www2.healthservice.hse.ie/organisation/nss/news/advancing-screening-in-ireland-implementing-an-ai-programme-in-nss/ (opens in a new tab)
- Hecht, J. (2016). Boom, bubble, bust: The fiber optic mania. Optics & Photonics News, 27(10). https://internethistory.org/wp-content/uploads/2020/01/OSA_Boom.Bubble.Bust_Fiber.Optic_.Mania_.pdf (opens in a new tab)
- heise online. (2025, February 3). DeepSeek: V3 development is said to have been much more expensive. https://www.heise.de/en/news/DeepSeek-V3-development-is-said-to-have-been-much-more-expensive-10267795.html (opens in a new tab)
- Henkel, O., Horne-Robinson, H., Kozhakhmetova, N., & Lee, A. (2024). Effective and scalable math support: Experimental evidence on the impact of an AI-math tutor in Ghana. In A. M. Olney, I.-A. Chounta, Z. Liu, O. C. Santos, & I. I. Bittencourt (Eds.), Artificial intelligence in education: Posters and late breaking results (Communications in Computer and Information Science, Vol. 2150, pp. 373-381). Springer. https://doi.org/10.1007/978-3-031-64315-6_34 (opens in a new tab)
- Henry, R. S. (1945). The railroad land grant legend in American history texts. Mississippi Valley Historical Review, 32(2), 171-194. https://www.multimodalways.org/docs/railroads/RRResearch/Henry%20RR%20Land%20Grants%209-1945.pdf (opens in a new tab)
- Hernström, V., et al. (2026). Interval cancer, sensitivity, and specificity comparing AI-supported mammography screening with standard double reading without AI in the MASAI study. The Lancet. https://www.thelancet.com/journals/lancet/article/PIIS0140-6736(25)02464-X/abstract (opens in a new tab)
- Hernström, V., Josefsson, V., Sartor, H., Schmidt, D., Larsson, A.-M., Hofvind, S., ... Lång, K. (2025). Screening performance and characteristics of breast cancer detected in the Mammography Screening with Artificial Intelligence trial (MASAI). The Lancet Digital Health, 7(3), e175-e183. https://www.thelancet.com/journals/landig/article/PIIS2589-7500(24)00267-X/fulltext (opens in a new tab)
- Historical Statistics of the United States, Millennial Edition Online. (n.d.). Table Df17-21: Inland freight rates, by type of transportation: 1784-1900. Cambridge University Press. https://hsus.cambridge.org/HSUSWeb/toc/treeTablePathIdDf17-21.html (opens in a new tab)
- Hogendorn, C. (2011). Excessive(?) entry of national telecom networks, 1990-2001. Telecommunications Policy, 35(11), 920-932. https://doi.org/10.1016/j.telpol.2011.09.003 (opens in a new tab)
- Holland, C., Levis, J., Nuggehalli, R., Santilli, B., & Winters, J. (2017). UPS optimizes delivery routes. Interfaces, 47(1), 8-23. https://doi.org/10.1287/inte.2016.0875 (opens in a new tab)
- Humlum, A., & Vestergaard, E. (2026). Still waters, rapid currents: Early labor market transformation under generative AI (NBER Working Paper No. 33777; revised March 2026). National Bureau of Economic Research. https://www.nber.org/papers/w33777 (opens in a new tab)
I11 references
A-Z, back to the letter index- IEEE Spectrum (Smith, M. S.). (2026, April 13). 12 graphs that explain the state of AI in 2026. https://spectrum.ieee.org/state-of-ai-index-2026 (opens in a new tab)
- Ingka Group. (2022, September 20). IKEA stores halve production food waste, saving more than 20 million meals over four years. https://www.ingka.com/newsroom/ikea-stores-halve-production-food-waste-saving-more-than-20-million-meals-over-four-years/ (opens in a new tab)
- Insilico Medicine. (2025, June 3). Insilico announces Nature Medicine publication of Phase IIa results of rentosertib. https://insilico.com/news/tnrecuxsc1-insilico-announces-nature-medicine-publi (opens in a new tab)
- International Energy Agency. (2025, April 10). Energy and AI. https://www.iea.org/reports/energy-and-ai (opens in a new tab)
- International Energy Agency. (2026, July 16). Global critical minerals outlook 2026. https://www.iea.org/reports/global-critical-minerals-outlook-2026 (opens in a new tab)
- International Energy Agency. (2026). Key questions on energy and AI. https://www.iea.org/reports/key-questions-on-energy-and-ai (opens in a new tab)
- Internet Watch Foundation. (2026). Annual data and insights report 2025: AI-generated child sexual abuse material. https://www.iwf.org.uk/annual-data-insights-report-2025/emerging-and-persistent-harms/ai-generated-child-sexual-abuse-material (opens in a new tab)
- Internet Watch Foundation. (2026). Annual data and insights report 2025: AI-generated images. https://www.iwf.org.uk/annual-data-insights-report-2025/image-insights/ai-generated-images (opens in a new tab)
- Internet Watch Foundation. (2026). Annual data and insights report 2025: AI-generated videos. https://www.iwf.org.uk/annual-data-insights-report-2025/video-insights/ai-generated-videos/ (opens in a new tab)
- Irish Times. (2022, May 24). EirGrid halts talks with potential data centres over electricity curbs. https://www.irishtimes.com/business/financial-services/eirgrid-halts-talks-with-potential-data-centres-over-electricity-curbs-1.4886383 (opens in a new tab)
- Irish Times. (2025, December 12). New data centres must generate and supply electricity to wider market, regulator rules. https://www.irishtimes.com/business/2025/12/12/new-data-centres-must-generate-and-supply-electricity-to-wider-market-regulator-rules/ (opens in a new tab)
J3 references
A-Z, back to the letter index- Jayatunga, M. K. P., Ayers, M., Bruens, L., Jayanth, D., & Meier, C. (2024). How successful are AI-discovered drugs in clinical trials? A first analysis and emerging lessons. Drug Discovery Today, 29(6), 104009. https://doi.org/10.1016/j.drudis.2024.104009 (opens in a new tab)
- John Deere. (2024, September 18). See & Spray customers see 59% average herbicide savings in 2024. https://www.deere.ca/en/news/all-news/see-spray-herbicide-savings/ (opens in a new tab)
- John Deere. (2025, November 4). John Deere customers use See & Spray technology across five million acres in 2025. https://www.deere.ca/en/news/all-news/see-spray-technology-across-5-million-acres/ (opens in a new tab)
K7 references
A-Z, back to the letter index- Karuka, M. (2019). Empire's tracks: Indigenous nations, Chinese workers, and the transcontinental railroad. University of California Press. https://www.jstor.org/stable/j.ctvd1c7m4 (opens in a new tab)
- Kenny, E. M., Ruelle, E., Geoghegan, A., Shalloo, L., O'Leary, M., O'Donovan, M., & Keane, M. T. (2019). Predicting grass growth for sustainable dairy farming: A CBR system using Bayesian case-exclusion and post-hoc, personalized explanation-by-example (XAI). In Case-Based Reasoning Research and Development (ICCBR 2019). Springer. https://doi.org/10.1007/978-3-030-29249-2_12 (opens in a new tab)
- Kitchens, C., & Fishback, P. (2015). Flip the switch: The impact of the Rural Electrification Administration 1935-1940. Journal of Economic History, 75(4), 1161-1195. https://doi.org/10.1017/S0022050715001540 (opens in a new tab)
- Koomey, J. (2016, November 29). Our latest on energy efficiency of computing over time, now out in Electronic Design. https://www.koomey.com/koomey_blog/our-latest-on-energy-efficiency-of-computing-over-time--now-out-in-electronic-design/ (opens in a new tab)
- Koomey, J., Berard, S., Sanchez, M., & Wong, H. (2011). Implications of historical trends in the electrical efficiency of computing. IEEE Annals of the History of Computing, 33(3), 46-54. https://doi.org/10.1109/MAHC.2010.28 (opens in a new tab)
- Krishnan, A., Anahtar, M. N., Valeri, J. A., Jin, W., Donghia, N. M., ... Collins, J. J. (2025). A generative deep learning approach to de novo antibiotic design. Cell, 188(21), 5962-5979. https://doi.org/10.1016/j.cell.2025.07.033 (opens in a new tab)
- Kusuma, J. (2025, July 16). Using AI to make lower-carbon, faster-curing concrete. Meta Engineering. https://engineering.fb.com/2025/07/16/data-center-engineering/ai-make-lower-carbon-faster-curing-concrete/ (opens in a new tab)
L13 references
A-Z, back to the letter index- Lam, R., Sanchez-Gonzalez, A., Willson, M., Wirnsberger, P., Fortunato, M., Alet, F., ... Battaglia, P. (2023). Learning skillful medium-range global weather forecasting. Science, 382(6677), 1416-1421. https://www.science.org/doi/10.1126/science.adi2336 (opens in a new tab)
- Lång, K., Josefsson, V., Larsson, A.-M., Larsson, S., Högberg, C., Sartor, H., ... Rosso, A. (2023). Artificial intelligence-supported screen reading versus standard double reading in the Mammography Screening with Artificial Intelligence trial (MASAI): A clinical safety analysis. The Lancet Oncology, 24(8), 936-944. https://doi.org/10.1016/S1470-2045(23)00298-X (opens in a new tab)
- Lang, S., et al. (2025). An update to ECMWF's machine-learned weather forecast model AIFS Single. arXiv. https://arxiv.org/html/2509.18994v1 (opens in a new tab)
- Lawrence Berkeley National Laboratory. (2025, December 15). Queued up: 2025 edition. https://emp.lbl.gov/publications/queued-2025-edition-characteristics (opens in a new tab)
- Lawrence Berkeley National Laboratory. (2026). Queued up: 2026 edition [Summary]. https://emp.lbl.gov/queues (opens in a new tab)
- Leunig, T. (2006). Time is money: A re-assessment of the passenger social savings from Victorian British railways. Journal of Economic History, 66(3), 635-673. https://doi.org/10.1017/S0022050706000283 (opens in a new tab)
- Leunig, T. (2010). Social savings. Journal of Economic Surveys, 24(5), 775-800. https://doi.org/10.1111/j.1467-6419.2010.00636.x (opens in a new tab)
- Lewis, J., & Severnini, E. (2020). Short- and long-run impacts of rural electrification: Evidence from the historical rollout of the U.S. power grid. Journal of Development Economics, 143, 102412. https://doi.org/10.1016/j.jdeveco.2019.102412 (opens in a new tab)
- Li, P., Yang, J., Islam, M. A., & Ren, S. (2025). Making AI less "thirsty". Communications of the ACM, 68(7), 54-61. https://doi.org/10.1145/3724499 (opens in a new tab)
- Liu, G., Catacutan, D. B., Rathod, K., Swanson, K., Jin, W., Mohammed, J. C., ... Stokes, J. M. (2023). Deep learning-guided discovery of an antibiotic targeting Acinetobacter baumannii. Nature Chemical Biology, 19, 1342-1350. https://www.nature.com/articles/s41589-023-01349-8 (opens in a new tab)
- Louisville Public Media / WUOT. (2026, August 31). Noise pollution from data centers is coming. The gas-powered xAI model is spreading. https://www.lpm.org/news/2026-08-31/noise-pollution-from-data-centers-is-coming-the-gas-powered-xai-model-is-spreading (opens in a new tab)
- Luccioni, A. S., Jernite, Y., & Strubell, E. (2024). Power hungry processing: Watts driving the cost of AI deployment? Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency, 85-99. https://doi.org/10.1145/3630106.3658542 (opens in a new tab)
- Luccioni, A. S., Strubell, E., & Crawford, K. (2025). From efficiency gains to rebound effects: The problem of Jevons' paradox in AI's polarized environmental debate. Proceedings of the 2025 ACM Conference on Fairness, Accountability, and Transparency, 76-88. https://doi.org/10.1145/3715275.3732007 (opens in a new tab)
M29 references
A-Z, back to the letter index- Mallon, D., Fallon, M., Blana, E., McNamara, C., Menon, A., Ip, C. L., ... (2023). Real-world evaluation of Brainomix e-Stroke software. Stroke and Vascular Neurology. https://doi.org/10.1136/svn-2023-002859 (opens in a new tab)
- Masanet, E., Shehabi, A., Lei, N., Smith, S., & Koomey, J. (2020). Recalibrating global data center energy-use estimates. Science, 367(6481), 984-986. https://www.science.org/doi/10.1126/science.aba3758 (opens in a new tab)
- McClelland, P. D. (1968). Railroads, American growth, and the new economic history: A critique. Journal of Economic History, 28(1), 102-123. https://www.cambridge.org/core/journals/journal-of-economic-history/article/abs/railroads-american-growth-and-the-new-economic-history-a-critique/9CD61A9DCDDA12B4A31678369DBF6B08 (opens in a new tab)
- McKinsey & Company. (2018, October 4). Digitally enabled reliability: Beyond predictive maintenance. https://www.mckinsey.com/capabilities/operations/our-insights/digitally-enabled-reliability-beyond-predictive-maintenance (opens in a new tab)
- McKinsey & Company. (2021, July 19). Establishing the right analytics-based maintenance strategy. https://www.mckinsey.com/capabilities/operations/our-insights/establishing-the-right-analytics-based-maintenance-strategy (opens in a new tab)
- McKinsey & Company. (2024, October 29). AI power: Expanding data center capacity to meet growing demand. https://www.mckinsey.com/industries/technology-media-and-telecommunications/our-insights/ai-power-expanding-data-center-capacity-to-meet-growing-demand (opens in a new tab)
- McKinsey & Company. (2025, August 1). Scaling bigger, faster, cheaper data centers with smarter designs. https://www.mckinsey.com/industries/private-capital/our-insights/scaling-bigger-faster-cheaper-data-centers-with-smarter-designs (opens in a new tab)
- McKinsey Global Institute. (2015, June). The Internet of Things: Mapping the value beyond the hype. https://www.mckinsey.com/~/media/mckinsey/industries/technology%20media%20and%20telecommunications/high%20tech/our%20insights/the%20internet%20of%20things%20the%20value%20of%20digitizing%20the%20physical%20world/the-internet-of-things-mapping-the-value-beyond-the-hype.pdf (opens in a new tab)
- Memphis Flyer. (2026, June 11). Lawsuit targets continuous "squealing," "roaring" from xAI's Southaven center. https://www.memphisflyer.com/lawsuit-targets-continuous-squealing-roaring-from-xais-southaven-center/ (opens in a new tab)
- Merchant, A., Batzner, S., Schoenholz, S. S., Aykol, M., Cheon, G., & Cubuk, E. D. (2023). Scaling deep learning for materials discovery. Nature, 624, 80-85. https://doi.org/10.1038/s41586-023-06735-9 (opens in a new tab)
- Met Éireann. (2025, September 19). Met Éireann and UCD launch new AI centre to strengthen Ireland's preparedness for changing weather and climate. https://www.met.ie/met-eireann-and-ucd-launch-new-ai-research-centre (opens in a new tab)
- Meta Platforms, Inc & 2 others v Motaung & 186 others, [2024] KECA 1262 (KLR) (Court of Appeal of Kenya at Nairobi, September 20, 2024). https://new.kenyalaw.org/akn/ke/judgment/keca/2024/1262/eng@2024-09-20 (opens in a new tab)
- Meta. (2022, April 27). Green concrete: Using AI to reduce concrete's carbon footprint. https://tech.facebook.com/engineering/2022/4/sustainable-concrete/ (opens in a new tab)
- Meta. (2024, July 23). Llama 3.1 model card. https://huggingface.co/meta-llama/Llama-3.1-405B (opens in a new tab)
- Meta. (2025, August). 2025 sustainability report. https://sustainability.atmeta.com/wp-content/uploads/2025/08/Meta_2025-Sustainability-Report_.pdf (opens in a new tab)
- Meta. (2025, October). 2025 environmental data index. https://sustainability.atmeta.com/wp-content/uploads/2025/10/Meta_2025-Environmental-Data-Index.pdf (opens in a new tab)
- Microsoft. (2026, July 29). Microsoft fiscal year 2026 fourth quarter earnings conference call [Transcript]. https://www.microsoft.com/en-us/investor/events/fy-2026/earnings-fy-2026-q4 (opens in a new tab)
- Microsoft Corporation. (2026, July 29). Form 10-K for the fiscal year ended June 30, 2026. U.S. Securities and Exchange Commission. https://www.sec.gov/Archives/edgar/data/789019/000119312526323660/msft-20260630.htm (opens in a new tab)
- Microsoft. (2025, May 29). 2025 environmental sustainability report. https://cdn-dynmedia-1.microsoft.com/is/content/microsoftcorp/microsoft/msc/documents/presentations/CSR/2025-Microsoft-Environmental-Sustainability-Report.pdf (opens in a new tab)
- Microsoft. (2026, July 9). 2026 environmental sustainability report. https://cdn-dynmedia-1.microsoft.com/is/content/microsoftcorp/microsoft/msc/documents/presentations/CSR/2026-Microsoft-Environmental-Sustainability-Report-PDF.pdf (opens in a new tab)
- Microsoft. (2026, July 9). Environmental data fact sheet 2026. https://cdn-dynmedia-1.microsoft.com/is/content/microsoftcorp/microsoft/msc/documents/presentations/CSR/2026-Microsoft-Environmental-Data-Fact-Sheet-PDF.pdf (opens in a new tab)
- Microsoft. (n.d.). Rolls-Royce saves millions in cost avoidance with Microsoft Cloud for Manufacturing. https://www.microsoft.com/en/customers/story/23201-rolls-royce-azure-databricks (opens in a new tab)
- Minister van Financiën. (2022, April 21). [Letter to the Tweede Kamer on the Toeslagen risk-classification model] (Kamerstuk 31066, nr. 1008). Tweede Kamer der Staten-Generaal. https://www.tweedekamer.nl/kamerstukken/brieven_regering/detail?did=2022D16460&id=2022Z08172 (opens in a new tab)
- Mistral AI. (2025, July 22). Our contribution to a global environmental standard for AI. https://mistral.ai/news/our-contribution-to-a-global-environmental-standard-for-ai/ (opens in a new tab)
- MIT News. (2025, August 14). Using generative AI, researchers design compounds that can kill drug-resistant bacteria. https://news.mit.edu/2025/using-generative-ai-researchers-design-compounds-kill-drug-resistant-bacteria-0814 (opens in a new tab)
- MIT Technology Review. (2024, October 28). AI will add to the e-waste problem. Here's what we can do about it. https://www.technologyreview.com/2024/10/28/1106316/ai-e-waste/ (opens in a new tab)
- MIT Technology Review. (2025, August 21). In a first, Google has released data on how much energy an AI prompt uses. https://www.technologyreview.com/2025/08/21/1122288/google-gemini-ai-energy/ (opens in a new tab)
- Moffette, F., Alix-Garcia, J., Shea, K., & Pickens, A. H. (2021). The impact of near-real-time deforestation alerts across the tropics. Nature Climate Change, 11, 172-178. https://doi.org/10.1038/s41558-020-00956-w (opens in a new tab)
- MOST Policy Initiative. (2026, April 8). Data center water use. https://mostpolicyinitiative.org/science-note/data-center-water-use/ (opens in a new tab)
N13 references
A-Z, back to the letter index- Nagaratnam, K., Neuhaus, A., Epton, M., Marriott, T., Woodhead, Z., Fernandez, C., ... (2025). Impact of artificial intelligence imaging decision support software on treatment of acute ischemic stroke in England [Abstract 35]. Stroke, 56(Suppl 1). https://doi.org/10.1161/str.56.suppl_1.35 (opens in a new tab)
- National Grid. (2025, June 5). National Grid installs grid-enhancing technology allowing more renewable power to flow through existing transmission lines. https://www.nationalgrid.com/media-centre/press-releases/national-grid-installs-grid-enhancing-technology (opens in a new tab)
- National Hurricane Center. (2026). 2025 National Hurricane Center forecast verification report. https://www.nhc.noaa.gov/verification/pdfs/Verification_2025.pdf (opens in a new tab)
- National Park Service. (2026, February 4). Indigenous people. Golden Spike National Historical Park. https://www.nps.gov/gosp/learn/historyculture/indigenous-people.htm (opens in a new tab)
- Nature Cancer. (2026, March 10). Diagnostic accuracy, fairness and clinical implementation of AI for breast cancer screening. https://www.nature.com/articles/s43018-026-01127-0 (opens in a new tab)
- Nearing, G., Cohen, D., Dube, V., Gauch, M., Gilon, O., Harrigan, S., Hassidim, A., Klotz, D., Kratzert, F., Metzger, A., Nevo, S., Pappenberger, F., Prudhomme, C., Shalev, G., Shenzis, S., Tekalign, T. Y., Weitzner, D., & Matias, Y. (2024). Global prediction of extreme floods in ungauged watersheds. Nature, 627(8004), 559-563. https://doi.org/10.1038/s41586-024-07145-1 (opens in a new tab)
- Nobel Prize Outreach. (2024, October 9). Press release: The Nobel Prize in Chemistry 2024. https://www.nobelprize.org/prizes/chemistry/2024/press-release/ (opens in a new tab)
- Northumbrian Water. (2026). AI technology helps to hunt down leaks. https://www.nwg.co.uk/news-and-media/news-releases/ai-technology-helps-to-hunt-down-leaks/ (opens in a new tab)
- Novikov, A., et al. (2025). AlphaEvolve: A coding agent for scientific and algorithmic discovery. arXiv. https://arxiv.org/abs/2506.13131 (opens in a new tab)
- Noy, S., & Zhang, W. (2023). Experimental evidence on the productivity effects of generative artificial intelligence. Science, 381(6654), 187-192. https://doi.org/10.1126/science.adh2586 (opens in a new tab)
- NVIDIA (Koparkar, S.). (2026, July 14). Why performance per watt is the ultimate metric for AI infrastructure efficiency. https://blogs.nvidia.com/blog/performance-per-watt-ai-infrastructure-efficiency/ (opens in a new tab)
- NVIDIA (Li, J.). (2026, August 24). NVIDIA Vera Rubin and Blackwell set a new standard for agentic AI performance per watt. NVIDIA Technical Blog. https://developer.nvidia.com/blog/nvidia-vera-rubin-and-blackwell-set-a-new-standard-for-agentic-ai-performance-per-watt/ (opens in a new tab)
- NVIDIA. (2024, March 18). NVIDIA Blackwell platform arrives to power a new era of computing [Press release]. https://nvidianews.nvidia.com/news/nvidia-blackwell-platform-arrives-to-power-a-new-era-of-computing (opens in a new tab)
O13 references
A-Z, back to the letter index- Obermeyer, Z., Powers, B., Vogeli, C., & Mullainathan, S. (2019). Dissecting racial bias in an algorithm used to manage the health of populations. Science, 366(6464), 447-453. https://doi.org/10.1126/science.aax2342 (opens in a new tab)
- Odlyzko, A. (2002). Measurements and mismeasurements and the dynamics of data traffic growth [Slides]. https://www-users.cse.umn.edu/~odlyzko/talks/cmg-mismeasurements.pdf (opens in a new tab)
- Odlyzko, A. (2010). Collective hallucinations and inefficient markets: The British Railway Mania of the 1840s. University of Minnesota. https://www-users.cse.umn.edu/~odlyzko/doc/hallucinations.pdf (opens in a new tab)
- Odlyzko, A. (2012). Crushing national debts, economic revolutions, and extraordinary popular delusions. University of Minnesota. https://www-users.cse.umn.edu/~odlyzko/doc/mania05.pdf (opens in a new tab)
- Odlyzko, A. (2012). The Railway Mania: Fraud, disappointed expectations, and the modern economy. Journal of the Railway & Canal Historical Society, 215, 2-12. https://www-users.cse.umn.edu/~odlyzko/doc/mania06.pdf (opens in a new tab)
- Odlyzko, A. (2016). The early British railway system, the Casson counterfactual, and the effectiveness of central planning. University of Minnesota. https://www-users.cse.umn.edu/~odlyzko/doc/mania08.pdf (opens in a new tab)
- Odlyzko, A. (2018). Dionysius Lardner, the denigrated sage of early railways. University of Minnesota. https://www-users.cse.umn.edu/~odlyzko/doc/mania15.pdf (opens in a new tab)
- Ofcom. (2026, January 12). Ofcom launches investigation into X over Grok sexualised imagery. https://www.ofcom.org.uk/online-safety/illegal-and-harmful-content/ofcom-launches-investigation-into-x-over-grok-sexualised-imagery (opens in a new tab)
- Ofwat. (n.d.). Leakage. https://www.ofwat.gov.uk/households/supply-and-standards/leakage/ (opens in a new tab)
- Oireachtas. (2025, April 10). Uisce Éireann: Statements - Dáil Éireann debate. https://www.oireachtas.ie/en/debates/debate/dail/2025-04-10/21/ (opens in a new tab)
- Olson, S. H. (1971). The depletion myth: A history of railroad use of timber. Harvard University Press.
- Ombudsman for Children's Office. (2026, January 8). OCO statement on Grok AI concerns. https://www.oco.ie/news/oco-statement-on-grok-ai-concerns/ (opens in a new tab)
- Open Climate Fix. (2025, November 6). National Energy System Operator adopts AI solar forecasting to save £30m and slash 300,000 tonnes of CO2 every year. https://www.openclimatefix.org/insights/neso-adopts-ai-solar-forecasting-control-room (opens in a new tab)
P11 references
A-Z, back to the letter index- Pacific Coast Food Waste Commitment. (2022). Using artificial intelligence to reduce food waste in grocery retail [Case study]. https://pacificcoastcollaborative.org/wp-content/uploads/2022/12/PCFWC-Case-Study_AI_Final.pdf (opens in a new tab)
- Pano AI. (2026, June 3). Pano AI expands its wildfire offerings to help utilities and emergency managers [Press release]. AP News / GlobeNewswire. https://apnews.com/press-release/globenewswire-mobile/pano-ai-expands-its-wildfire-offerings-to-help-utilities-and-emergency-managers-c057c12691e318fbc4281f4e69441d63 (opens in a new tab)
- Paolo, F. S., Kroodsma, D., Raynor, J., Hochberg, T., Davis, P., Cleary, J., Marsaglia, L., Orofino, S., Thomas, C., & Halpin, P. (2024). Satellite mapping reveals extensive industrial activity at sea. Nature, 625(7993), 85-91. https://doi.org/10.1038/s41586-023-06825-8 (opens in a new tab)
- Parlementaire ondervragingscommissie Kinderopvangtoeslag. (2020). Ongekend onrecht (Kamerstuk 35510, nr. 2). Tweede Kamer der Staten-Generaal. https://zoek.officielebekendmakingen.nl/kst-35510-2.html (opens in a new tab)
- Patterson, D., Gonzalez, J., Le, Q., Liang, C., Munguia, L.-M., Rothchild, D., So, D., Texier, M., & Dean, J. (2021). Carbon emissions and large neural network training. arXiv:2104.10350. https://arxiv.org/abs/2104.10350 (opens in a new tab)
- PBS American Experience. (n.d.). The Panic of 1873. https://www.pbs.org/wgbh/americanexperience/features/grant-panic/ (opens in a new tab)
- Perrigo, B. (2023, January 18). Exclusive: OpenAI used Kenyan workers on less than $2 per hour to make ChatGPT less toxic. TIME. https://time.com/6247678/openai-chatgpt-kenya-workers/ (opens in a new tab)
- Power Engineering. (2026, January 5). DOE orders more coal units to stay online under emergency authority. https://www.power-eng.com/coal/doe-orders-more-coal-units-to-stay-online-under-emergency-authority/ (opens in a new tab)
- Preprint, not peer-reviewed: Anonymous. (2026). Tiered Super-Moore's law: Price evolution, production frontiers, and market competition in large language model inference services (arXiv:2603.28576). https://arxiv.org/html/2603.28576v1 (opens in a new tab)
- Price, I., Sanchez-Gonzalez, A., Alet, F., Andersson, T. R., El-Kadi, A., Masters, D., ... Willson, M. (2024). Probabilistic weather forecasting with machine learning. Nature, 637, 84-90. https://www.nature.com/articles/s41586-024-08252-9 (opens in a new tab)
- PYMNTS. (2026, July 29). Microsoft extends data center lifespans to soften AI buildout costs. https://www.pymnts.com/earnings/2026/microsoft-extends-data-center-lifespans-to-soften-ai-buildout-costs/ (opens in a new tab)
R8 references
A-Z, back to the letter index- Rahman, R. (2024). Performance per dollar improves around 30% each year. Epoch AI. https://epoch.ai/data-insights/price-performance-hardware (opens in a new tab)
- Rainforest Connection. (n.d.). Guardian: Real-time threat detection. https://rfcx.org/guardian (opens in a new tab)
- Regulation (EU) 2026/1744 of the European Parliament and of the Council of 8 July 2026 (Digital Omnibus on AI). (2026). Official Journal of the European Union, L, 24.7.2026. https://eur-lex.europa.eu/legal-content/EN/TXT/PDF/?uri=OJ%3AL_202601744 (opens in a new tab)
- Reuters. (2024, November 13). California's only nuclear plant to use AI to help comply with new licensing challenges. https://www.reuters.com/technology/artificial-intelligence/californias-only-nuclear-plant-use-ai-help-comply-with-new-licensing-challenges-2024-11-13/ (opens in a new tab)
- Reuters. (2025, July 1). Bezos-backed methane tracking satellite is lost in space. https://www.reuters.com/business/energy/bezos-backed-methane-tracking-satellite-is-lost-space-2025-07-01/ (opens in a new tab)
- Richmond Fed (Sablik, T.). (2020). Electrifying rural America. Econ Focus, Q1 2020. https://www.richmondfed.org/publications/research/econ_focus/2020/q1/economic_history (opens in a new tab)
- RTÉ News. (2022, January 10). No new data centres for the capital for the foreseeable future. https://www.rte.ie/news/dublin/2022/0110/1272869-eirgrid-datacentres-dublin/ (opens in a new tab)
- RTÉ News. (2022, January 16). Data centres get to grips with EirGrid's Dublin pause. https://www.rte.ie/news/business/2022/0116/1273819-data-centres-eirgrid/ (opens in a new tab)
S13 references
A-Z, back to the letter index- Scientific American (Nature News). (2011, May 11). What is the human genome worth? https://www.scientificamerican.com/article/what-is-the-human-genome-worth/ (opens in a new tab)
- SemiAnalysis InferenceMAX. (2026, May 26). B200 NVFP4 vs H100 FP8 on MiniMax-M2.5: Up to 8.2x better performance per dollar. https://inferencex.semianalysis.com/blog/b200-minimax-m2-5-vllm-nvfp4-vs-h100-fp8-perf-per-dollar (opens in a new tab)
- Sevilla, J., & Roldan, E. (2024, May 28). Training compute of frontier AI models grows by 4-5x per year. Epoch AI. https://epoch.ai/publications/training-compute-of-frontier-ai-models-grows-by-4-5x-per-year (opens in a new tab)
- Shehabi, A., Smith, S. J., Hubbard, A., Newkirk, A., Lei, N., Siddik, M. A. B., Holecek, B., Koomey, J., Masanet, E., & Sartor, D. (2024). 2024 United States data center energy usage report (LBNL-2001637). Lawrence Berkeley National Laboratory. https://eta-publications.lbl.gov/publications/2024-lbnl-data-center-energy-usage-report (opens in a new tab)
- Shehabi, A., Smith, S. J., Hubbard, A., Newkirk, A., Lei, N., Siddik, M. A. B., Holecek, B., Koomey, J., Masanet, E., & Sartor, D. (2024). 2024 United States data center energy usage report (LBNL-2001637). Lawrence Berkeley National Laboratory. https://eta-publications.lbl.gov/sites/default/files/2024-12/lbnl-2024-united-states-data-center-energy-usage-report.pdf (opens in a new tab)
- Show, D.-Y., Guo, H., Ling, Z.-H., Zhang, J., Zhai, Z., Zhong, D.-L., et al. (2025). Optimization of denitrification carbon source, nitrification aeration and coagulants dosing with artificial intelligence in full-scale municipal wastewater treatment. Results in Engineering. https://doi.org/10.1016/j.rineng.2025.106879 (opens in a new tab)
- Siemens. (n.d.). Senseye Predictive Maintenance [Brochure]. https://assets.new.siemens.com/siemens/assets/api/uuid:37142e74-d43b-4c2f-b284-970e6264a0be/Senseye-Predictive-Maintenance_original.pdf (opens in a new tab)
- Smythe, I. S., & Blumenstock, J. E. (2022). Geographic microtargeting of social assistance with high-resolution poverty maps. Proceedings of the National Academy of Sciences, 119(32), e2120025119. https://doi.org/10.1073/pnas.2120025119 (opens in a new tab)
- Stanford HAI. (2024). The 2024 AI Index report. https://hai.stanford.edu/ai-index/2024-ai-index-report (opens in a new tab)
- Stanford HAI. (2025). The 2025 AI Index report. https://hai.stanford.edu/ai-index/2025-ai-index-report (opens in a new tab)
- Stanford HAI. (2026). The 2026 AI Index report. https://hai.stanford.edu/ai-index/2026-ai-index-report (opens in a new tab)
- Stokes, J. M., Yang, K., Swanson, K., Jin, W., Cubillos-Ruiz, A., Donghia, N. M., ... Collins, J. J. (2020). A deep learning approach to antibiotic discovery. Cell, 180(4), 688-702. https://www.cell.com/cell/fulltext/S0092-8674(20)30102-1 (opens in a new tab)
- Supercycle Data Desk. (2026, September 16). Hyperscaler capex roundup: September 2026. https://supercyclehq.com/blog/reports/hyperscaler-capex-september-2026 (opens in a new tab)
T19 references
A-Z, back to the letter index- Taylor, M. S. (2011). Buffalo hunt: International trade and the virtual extinction of the North American bison. American Economic Review, 101(7), 3162-3195. NBER WP 12969: https://www.nber.org/papers/w12969 (opens in a new tab)
- Teagasc. (2021, December 2). Promising results from Ireland's first large scale measurement of methane emissions in beef cattle. https://teagasc.ie/news--events/news/methane-emissions-in-beef/ (opens in a new tab)
- Teagasc. (2025). Update on the MoSt Grass Growth prediction model. https://teagasc.ie/wp-content/uploads/2025/05/Update-on-the-MoSt-Grass-Growth-prediction-model.pdf (opens in a new tab)
- Teagasc. (2026, July 1). Methane-reducing feed additive research in beef cattle. https://teagasc.ie/insights/methane-reducing-feed-additive-research-in-beef-cattle/ (opens in a new tab)
- Technology.org. (2026, July 15). xAI ran 59 unpermitted gas turbines for Colossus 2 near Memphis. https://www.technology.org/2026/07/15/xai-59-unpermitted-gas-turbines-southaven-colossus-2/ (opens in a new tab)
- TechRepublic. (2024, September 17). Do emissions credits skew sustainability reporting? https://www.techrepublic.com/article/big-tech-emissions-market/ (opens in a new tab)
- Texas Tribune. (2026, August 14). Texas leads nation in proposed power plants for data centers. https://www.texastribune.org/text/234878/ (opens in a new tab)
- Thames Water. (2026, May 1). Thames Water signs landmark leak detection contract with Origin Tech to save over 100 million litres of water per day. https://www.thameswater.co.uk/news/2026/apr/thames-water-signs-landmark-leak-detection-contract-with-origin-tech-to-save-over-100-million-litres-of-water-per-day (opens in a new tab)
- The Gazette. (2024, February 7). Small Robot Company Limited: Appointment of liquidators (Notice 4548633). https://www.thegazette.co.uk/notice/4548633 (opens in a new tab)
- The Guardian. (2024, September 15). Data center emissions probably 662% higher than big tech claims. https://www.theguardian.com/technology/2024/sep/15/data-center-gas-emissions-tech (opens in a new tab)
- The Guardian. (2025, June 27). Google's emissions up 51% as AI electricity demand derails efforts to go green. https://www.theguardian.com/technology/2025/jun/27/google-emissions-ai-electricity-demand-derail-efforts-green (opens in a new tab)
- The Markup. (2025, April 8). For the first time, artificial intelligence is being used at a nuclear power plant: California's Diablo Canyon. https://themarkup.org/artificial-intelligence/2025/04/08/for-the-first-time-artificial-intelligence-is-being-used-at-a-nuclear-power-plant-californias-diablo-canyon (opens in a new tab)
- The Oregonian/OregonLive. (2022, December 17). Google's water use is soaring in The Dalles, records show, with two more data centers to come. https://www.oregonlive.com/silicon-forest/2022/12/googles-water-use-is-soaring-in-the-dalles-records-show-with-two-more-data-centers-to-come.html (opens in a new tab)
- The Planet Brief. (2026, July 21). Google environmental report 2026: Emissions and energy use. https://theplanetbrief.com/esg/google-2025-environmental-report/ (opens in a new tab)
- The Verge. (2025, March 18). Satellite launch kicks off a new effort to monitor wildfires from space. https://www.theverge.com/news/631618/first-satellite-launch-firesat-google (opens in a new tab)
- Tierney, A. A., et al. (2024). Ambient artificial intelligence scribes to alleviate the burden of clinical documentation. NEJM Catalyst, 5(3). https://catalyst.nejm.org/doi/full/10.1056/CAT.23.0404 (opens in a new tab)
- TMT Finance. (2026, August 18). 2026 hyperscaler capex tops US$700bn - analysis. https://www.tmtfinance.com/intel/2026-hyperscaler-capex-tops-us700bn-analysis (opens in a new tab)
- Trellis. (2025, June 27). Google sticks with 2030 net-zero goal despite big emissions increase. https://trellis.net/article/google-isnt-abandoning-its-2030-goal-despite-another-big-emissions-increase/ (opens in a new tab)
- Tucker, C., Brandt, M., Hiernaux, P., Kariryaa, A., Rasmussen, K., Small, J., Igel, C., Reiner, F., Melocik, K., Meyer, J., Sinno, S., Romero, E., Glennie, E., Fitts, Y., Morin, A., Pinzon, J., McClain, D., Morin, P., Porter, C., ... Fensholt, R. (2023). Sub-continental-scale carbon stocks of individual trees in African drylands. Nature, 615(7950), 80-86. https://doi.org/10.1038/s41586-022-05653-6 (opens in a new tab)
U13 references
A-Z, back to the letter index- U.S. Department of Energy. (2024, December 20). DOE releases new report evaluating increase in electricity demand from data centers. https://www.energy.gov/articles/doe-releases-new-report-evaluating-increase-electricity-demand-data-centers (opens in a new tab)
- U.S. Department of Energy. (2026). 2026 DOE 202(c) orders. https://www.energy.gov/ceser/2026-doe-202c-orders (opens in a new tab)
- U.S. Senate Committee on Environment and Public Works, Minority. (2026, April 15). Whitehouse calls for answers about Musk-backed xAI's pattern of operating illegal data center gas plants. https://www.epw.senate.gov/public/index.cfm/2026/4/whitehouse-calls-for-answers-about-musk-backed-xai-s-pattern-of-operating-illegal-data-center-gas-plants (opens in a new tab)
- Uisce Éireann. (2026). Annual report 2025: Key performance indicators. https://www.water.ie/ (opens in a new tab)
- Ulster University. (2026). Evaluation of a global repository of published dairy cattle methane emission prediction models on a Northern Irish dataset: Individual performance versus a stacked ensemble approach. https://pure.ulster.ac.uk/en/publications/evaluation-of-a-global-repository-of-published-dairy-cattle-metha/ (opens in a new tab)
- United Nations Department of Economic and Social Affairs. (n.d.). Goal 1, Goal 4, Goal 8, Goal 11 and Goal 16 [Goal pages]. Retrieved September 24, 2026, from https://sdgs.un.org/goals (opens in a new tab)
- United Nations Environment Programme, International Methane Emissions Observatory. (2026). MARS snapshot: Top 50 emitters, country responses and mitigation. https://methanedata.unep.org/downloads/top50_emitters/latest/mars_snapshot_latest.pdf (opens in a new tab)
- United Nations Environment Programme. (2025, October 22). Better data driving action on methane emissions, but more work needed [Press release]. https://www.unep.org/news-and-stories/press-release/better-data-driving-action-methane-emissions-more-work-needed (opens in a new tab)
- Unity Insights. (2025). TORTUS evaluation: Final report (Health Innovation Kent Surrey Sussex). https://healthinnovation-kss.com/wp-content/uploads/2025/11/202505_UI-TORTUS-Final-report-Copy.pdf (opens in a new tab)
- UPS. (2015, March 2). UPS accelerates use of routing optimization software to reduce 100 million miles driven [Press release]. https://www.globenewswire.com/de/news-release/2015/03/02/711508/30428/en/ (opens in a new tab)
- Uptime Institute. (2025). Global data center survey 2025. https://datacenter.uptimeinstitute.com/rs/711-RIA-145/images/2025.Annual.Survey.Report.pdf (opens in a new tab)
- Utility Dive (Martucci, B.). (2025, December 3). U.S. data center power demand could reach 106 GW by 2035: BloombergNEF. https://www.utilitydive.com/news/us-data-center-power-demand-could-reach-106-gw-by-2035-bloombergnef/806972/ (opens in a new tab)
- Utility Dive. (2026, March 19). DOE emergency orders for fossil plants complicate utility planning, experts say. https://www.utilitydive.com/news/doe-emergency-orders-for-fossil-plants-complicate-utility-planning-experts/815186/ (opens in a new tab)
W12 references
A-Z, back to the letter index- Wang, P., Zhang, L.-Y., Tzachor, A., & Chen, W.-Q. (2024). E-waste challenges of generative artificial intelligence. Nature Computational Science, 4, 818-823. https://doi.org/10.1038/s43588-024-00712-6 (opens in a new tab)
- Wang, R. E., Ribeiro, A. T., Robinson, C. D., Loeb, S., & Demszky, D. (2025). Tutor CoPilot: A human-AI approach for scaling real-time expertise (EdWorkingPaper No. 24-1054, November 2025 version). Annenberg Institute at Brown University. https://doi.org/10.26300/81nh-8262 (opens in a new tab)
- White, R. (2011). Railroaded: The transcontinentals and the making of modern America [Footnote 67, Stanford Spatial History Project]. https://web.stanford.edu/group/spatialhistory/railroaded/footnotes/section/chapter-1-genesis/footnote-67.html (opens in a new tab)
- Williams, I. D., Couch, C. S., Beijbom, O., Oliver, T. A., Vargas-Ángel, B., Schumacher, B. D., & Brainard, R. E. (2019). Leveraging automated image analysis tools to transform our capacity to assess status and trends of coral reefs. Frontiers in Marine Science, 6, 222. https://doi.org/10.3389/fmars.2019.00222 (opens in a new tab)
- Winnow. (2025). Impact report 2024-25. https://650776.fs1.hubspotusercontent-na1.net/hubfs/650776/2025/Winnow%202024-25%20Impact%20Report.pdf (opens in a new tab)
- WIRED. (2026, April 24). AI-designed drugs by a DeepMind spinoff are headed to human trials. https://www.wired.com/story/wired-health-2026-how-ai-is-powering-drug-discovery-max-jaderberg/ (opens in a new tab)
- WJLA. (2026, July 23). Data center noise, fumes create flood of complaints in Loudoun County. https://wjla.com/news/local/data-center-noise-fumes-create-flood-of-complaints-in-loudoun-county-virginia-board-of-supervisors-sterling (opens in a new tab)
- Wong, A., Otles, E., Donnelly, J. P., Krumm, A., McCullough, J., DeTroyer-Cooley, O., ... Singh, K. (2021). External validation of a widely implemented proprietary sepsis prediction model in hospitalized patients. JAMA Internal Medicine, 181(8), 1065-1070. https://doi.org/10.1001/jamainternmed.2021.2626 (opens in a new tab)
- Wood, C. M., Kahl, S., Rahaman, A., & Klinck, H. (2022). The machine learning-powered BirdNET App reduces barriers to global bird research by enabling citizen science participation. PLOS Biology, 20(6), e3001670. https://doi.org/10.1371/journal.pbio.3001670 (opens in a new tab)
- World Bank. (2021, April 13). Prioritizing the poorest and most vulnerable in West Africa: Togo's Novissi platform for social protection uses machine learning, geospatial analytics, and mobile phone metadata for the pandemic response [Results brief]. https://www.worldbank.org/en/results/2021/04/13/prioritizing-the-poorest-and-most-vulnerable-in-west-africa-togo-s-novissi-platform-for-social-protection-uses-machine-l (opens in a new tab)
- World Cement. (2024, October 8). Heidelberg Materials and Carbon Re AI integration to improve kiln performance. https://www.worldcement.com/europe-cis/08102024/heidelberg-materials-and-carbon-re-ai-integration-to-improve-kiln-performance/ (opens in a new tab)
- Wray, J., Oldham, G., Gough, P., Tomlinson, M., James, N., Hill, A., ... (2026). Time to care: The value of AI-powered ambient voice technology across diverse clinical settings [Abstract 101]. BMJ Paediatrics Open. https://doi.org/10.1136/bmjpo-2026-gosh.62 (opens in a new tab)
X2 references
A-Z, back to the letter index- Xiong, Z., Cheng, L., Yunus, A. I., Jian, D., Zhang, X.-P., Igou, T., et al. (2025). Machine learning-assisted expert control in wastewater aeration treatment process application. ACS ES&T Engineering. https://doi.org/10.1021/acsestengg.5c00493 (opens in a new tab)
- Xu, Z., Ren, F., Wang, P., Cao, J., Tan, C., Ma, D., ... Zhavoronkov, A. (2025). A generative AI-discovered TNIK inhibitor for idiopathic pulmonary fibrosis: A randomized phase 2a trial. Nature Medicine, 31(8), 2602-2610. https://doi.org/10.1038/s41591-025-03743-2 (opens in a new tab)
Y1 references
A-Z, back to the letter index- Yao, X., Rushlow, D. R., Inselman, J. W., McCoy, R. G., Thacher, T. D., Behnken, E. M., ... Noseworthy, P. A. (2021). Artificial intelligence-enabled electrocardiograms for identification of patients with low ejection fraction: A pragmatic, randomized clinical trial. Nature Medicine, 27(5), 815-819. https://doi.org/10.1038/s41591-021-01335-4 (opens in a new tab)
